Hyperspectral Remote Sensing from Spaceborne and Low Altitude Aerial/Drone-Based Platforms — Differences in Approaches, Data Processing Methods, and Applications
This Special Issue, titled “Hyperspectral Remote Sensing from Spaceborne and Low-Altitude Aerial/Drone-Based Platforms—Differences in Approaches, Data Processing Methods, and Applications”, presents the latest achievements in the field of hyperspectral remote sensing data processing and its related...
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| 格式: | Online |
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| 語言: | 英语 |
| 出版: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| 主題: | |
| 在線閱讀: | ONIX_20240514_9783036598345_25 |
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| _version_ | 1869525991955628032 |
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| collection | Directory of Open Access Books |
| description | This Special Issue, titled “Hyperspectral Remote Sensing from Spaceborne and Low-Altitude Aerial/Drone-Based Platforms—Differences in Approaches, Data Processing Methods, and Applications”, presents the latest achievements in the field of hyperspectral remote sensing data processing and its related applications. A total of 18 manuscripts, all of which were evaluated by professional Guest Editors and reviewers, were submitted for publication in this Special Issue. Subsequently, 11 of these submissions were deemed to be of a high quality (based on the standards set by Remote Sensing) and were revised, accepted, and published in this Special Issue. |
| format | Online |
| id | doab-20.500.12854ir-137422 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1374222024-05-14T13:02:12Z Hyperspectral Remote Sensing from Spaceborne and Low Altitude Aerial/Drone-Based Platforms — Differences in Approaches, Data Processing Methods, and Applications Pour, Amin Beiranvand Guha, Arindam Crispini, Laura Chatterjee, Snehamoy HySpex hyperspectral image processing classification wetlands mapping Arctic AVIRIS-NG base metal continuum removed spectral bands ground magnetic data banded magnetite quartzite multi-rangespectral feature fitting relative band depth water quality parameters inversion machine learning UAV-borne hyperspectral data water quality mapping deep learning models sago copper exploration BPNN NFAHP ASTER geological data mineral potential map GHG concentration industrial area remote sensing sensor UAV mapping geochemical exploration remote sensing image fusion mineral exploration lightning locating system particle swarm optimization VLF and VHF sensors GPS antennas lightning mapping environmental monitoring algal pigment estimation linear regression imaging systems hyperspectral imaging drones UAVs river algae algal blooms water quality inland waters remote sensing imagery land use land cover water yield United Nations Sustainable Development Goal (UNSDG) 6 mining geochemistry random forest geochemical zonality copper mineralization mineral prospectivity mapping n/a thema EDItEUR::P Mathematics and Science::PS Biology, life sciences This Special Issue, titled “Hyperspectral Remote Sensing from Spaceborne and Low-Altitude Aerial/Drone-Based Platforms—Differences in Approaches, Data Processing Methods, and Applications”, presents the latest achievements in the field of hyperspectral remote sensing data processing and its related applications. A total of 18 manuscripts, all of which were evaluated by professional Guest Editors and reviewers, were submitted for publication in this Special Issue. Subsequently, 11 of these submissions were deemed to be of a high quality (based on the standards set by Remote Sensing) and were revised, accepted, and published in this Special Issue. 2024-05-14T13:01:59Z 2024-05-14T13:01:59Z 2024 book ONIX_20240514_9783036598345_25 9783036598345 9783036598338 https://directory.doabooks.org/handle/20.500.12854/137422 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8577 https://mdpi.com/books/pdfview/book/8577 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9833-8 10.3390/books978-3-0365-9833-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036598345 9783036598338 274 open access |
| spellingShingle | HySpex hyperspectral image processing classification wetlands mapping Arctic AVIRIS-NG base metal continuum removed spectral bands ground magnetic data banded magnetite quartzite multi-rangespectral feature fitting relative band depth water quality parameters inversion machine learning UAV-borne hyperspectral data water quality mapping deep learning models sago copper exploration BPNN NFAHP ASTER geological data mineral potential map GHG concentration industrial area remote sensing sensor UAV mapping geochemical exploration remote sensing image fusion mineral exploration lightning locating system particle swarm optimization VLF and VHF sensors GPS antennas lightning mapping environmental monitoring algal pigment estimation linear regression imaging systems hyperspectral imaging drones UAVs river algae algal blooms water quality inland waters remote sensing imagery land use land cover water yield United Nations Sustainable Development Goal (UNSDG) 6 mining geochemistry random forest geochemical zonality copper mineralization mineral prospectivity mapping n/a thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Hyperspectral Remote Sensing from Spaceborne and Low Altitude Aerial/Drone-Based Platforms — Differences in Approaches, Data Processing Methods, and Applications |
| title | Hyperspectral Remote Sensing from Spaceborne and Low Altitude Aerial/Drone-Based Platforms — Differences in Approaches, Data Processing Methods, and Applications |
| title_full | Hyperspectral Remote Sensing from Spaceborne and Low Altitude Aerial/Drone-Based Platforms — Differences in Approaches, Data Processing Methods, and Applications |
| title_fullStr | Hyperspectral Remote Sensing from Spaceborne and Low Altitude Aerial/Drone-Based Platforms — Differences in Approaches, Data Processing Methods, and Applications |
| title_full_unstemmed | Hyperspectral Remote Sensing from Spaceborne and Low Altitude Aerial/Drone-Based Platforms — Differences in Approaches, Data Processing Methods, and Applications |
| title_short | Hyperspectral Remote Sensing from Spaceborne and Low Altitude Aerial/Drone-Based Platforms — Differences in Approaches, Data Processing Methods, and Applications |
| title_sort | hyperspectral remote sensing from spaceborne and low altitude aerial drone based platforms differences in approaches data processing methods and applications |
| topic | HySpex hyperspectral image processing classification wetlands mapping Arctic AVIRIS-NG base metal continuum removed spectral bands ground magnetic data banded magnetite quartzite multi-rangespectral feature fitting relative band depth water quality parameters inversion machine learning UAV-borne hyperspectral data water quality mapping deep learning models sago copper exploration BPNN NFAHP ASTER geological data mineral potential map GHG concentration industrial area remote sensing sensor UAV mapping geochemical exploration remote sensing image fusion mineral exploration lightning locating system particle swarm optimization VLF and VHF sensors GPS antennas lightning mapping environmental monitoring algal pigment estimation linear regression imaging systems hyperspectral imaging drones UAVs river algae algal blooms water quality inland waters remote sensing imagery land use land cover water yield United Nations Sustainable Development Goal (UNSDG) 6 mining geochemistry random forest geochemical zonality copper mineralization mineral prospectivity mapping n/a thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| topic_facet | HySpex hyperspectral image processing classification wetlands mapping Arctic AVIRIS-NG base metal continuum removed spectral bands ground magnetic data banded magnetite quartzite multi-rangespectral feature fitting relative band depth water quality parameters inversion machine learning UAV-borne hyperspectral data water quality mapping deep learning models sago copper exploration BPNN NFAHP ASTER geological data mineral potential map GHG concentration industrial area remote sensing sensor UAV mapping geochemical exploration remote sensing image fusion mineral exploration lightning locating system particle swarm optimization VLF and VHF sensors GPS antennas lightning mapping environmental monitoring algal pigment estimation linear regression imaging systems hyperspectral imaging drones UAVs river algae algal blooms water quality inland waters remote sensing imagery land use land cover water yield United Nations Sustainable Development Goal (UNSDG) 6 mining geochemistry random forest geochemical zonality copper mineralization mineral prospectivity mapping n/a thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| url | ONIX_20240514_9783036598345_25 |